Diverse, but Divisive: LLMs Can Exaggerate Gender Differences in Opinion Related to Harms of Misinformation. (arXiv:2401.16558v1 [cs.CY])

The pervasive spread of misinformation and disinformation poses a significant
threat to society. Professional fact-checkers play a key role in addressing
this threat, but the vast scale of the problem forces them to prioritize their
limited resources. This prioritization may consider a range of factors, such as
varying risks of harm posed to specific groups of people. In this work, we
investigate potential implications of using a large language model (LLM) to
facilitate such prioritization. Because fact-checking impacts a wide …

arxiv checkers cs.cy differences disinformation diverse gender key llms misinformation opinion professional resources role scale society them threat vast